Michigan Institute for Computational Discovery and Engineering

Transitioning from Flux to Great Lakes
2019-08-27 13:00 - 17:00 (America/Detroit) | ARCTS Office, 540 E. Liberty St., Ann Arbor, MI, 48109, United States
Lecture w/ Q&A

No Registration required. Drop-ins welcome. Thanks!

Graduate Studies in Computational & Data Sciences Info Session - Central Campus
2019-09-23 17:00 - 18:00 | Weiser Hall, Room 110 (First Floor), 500 Church Street, Ann Arbor, MI, 48109, United States
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided

The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. from their current departments, “… and Scientific Computing” — for example, “Ph.D. in Aerospace Engineering and Scientific Computing.”
The Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.
The Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.
The Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:
1) Modeling — Understanding of core data science principles, assumptions and applications;
2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization;
3) Practice — Hands-on experience with real data, modeling tools, and technology resources.

Graduate Studies in Computational & Data Sciences Info Session – North Campus
2019-09-24 16:00 - 17:00 | Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC, 1221 Beal Ave., Ann Arbor, MI, United States

Graduate Studies in Computational & Data Sciences Info Session
2020-07-30 08:00 - 09:00 | Zoom Webinar
8:00 a.m. E.D.T. / 12:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE
Learn about graduate programs that will prepare you for success in computationally intensive fields, and how you can enroll if you won’t be on campus this academic year. Registration is required.

The Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.
The Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.
The Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:
1) Modeling — Understanding of core data science principles, assumptions and applications;
2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization;
3) Practice — Hands-on experience with real data, modeling tools, and technology resources.

View the presentation from the information session here. A video recording is coming soon!

Graduate Studies in Computational & Data Sciences Info Session
2020-08-04 08:00 - 09:00 | Zoom Webinar
8:00 a.m. E.D.T. / 12:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE
Learn about graduate programs that will prepare you for success in computationally intensive fields, and how you can enroll if you won’t be on campus this academic year. Registration is required.

The Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.
The Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.
The Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:
1) Modeling — Understanding of core data science principles, assumptions and applications;
2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization;
3) Practice — Hands-on experience with real data, modeling tools, and technology resources.

View the presentation from the information session here. The video recording is coming soon!

Graduate Studies in Computational & Data Sciences Info Session
2020-08-20 16:00 - 17:00 | Zoom Event, MI, United States
4:00 p.m. E.D.T. / 8:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE
Learn about graduate programs that will prepare you for success in computationally intensive fields, and how you can enroll if you won’t be on campus this academic year. Registration is required.

The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. from their current departments, “… and Scientific Computing” — for example, “Ph.D. in Aerospace Engineering and Scientific Computing.”
The Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.
The Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.
The Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:
1) Modeling — Understanding of core data science principles, assumptions and applications;
2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization;
3) Practice — Hands-on experience with real data, modeling tools, and technology resources.

View the presentation from this event here. A video recording is coming soon!

MICDE & MIDAS Graduate Programs Info Session (Virtual)
2021-09-29 12:00 - 13:00 | Zoom Event, MI, United States
Join the MICDE and MIDAS teams for a 1-hour virtual information session to learn more about our computational and data science graduate program offerings, including: the Ph.D. in Scientific Computing, the Graduate Certificate in Computational Discovery & Engineering, the Graduate Certificate in Computational Neuroscience, and the Graduate Certificate in Data Science.
After a short presentation, each program’s faculty director and/or staff manager will be present to answer questions in a small group or 1:1 setting.

Watch the recording of this info session here.

MICDE & MIDAS Graduate Programs Information Tables (In-person)
2021-09-30 15:00 - 16:00 | MI
Meet 1:1 with MICDE and MIDAS graduate program faculty and staff managers to learn more about the institutes and the computational and data science graduate programs they offer, including: the Ph.D. in Scientific Computing, the Graduate Certificate in Computational Discovery & Engineering, the Graduate Certificate in Computational Neuroscience, and the Graduate Certificate in Data Science.
Advanced Research Computing will also be there giving information about their services, including the new free cluster allocations and ARC’s consulting services.

This event will be held in-person under the outdoor canopy tent located on the Ingalls Mall, across the street from the Rackham Graduate School building.
All attendees are required to wear masks.

Check out the recording of our virtual info session on Wednesday, September 29 here.

Getting Started with the Python Multiprocessing Package
2021-10-20 10:00 - 11:30 | Your Desktop
OVERVIEW
This workshop will provide a gentle introduction to using the multiprocessing package in Python for parallelizing and speeding up code. We will use hands-on programming exercises to demonstrate how to quickly get started with commonly used components of the multiprocessing package. Note that a Great Lakes account is optional for this workshop, but you must have an account before the start of the workshop if you wish to use Great Lakes. See below for account request information. If you do not wish to use Great Lakes, you must have python installed on your computer before the start of the workshop.
INSTRUCTOR
Armand Burks
Research Data Scientist Intermediate
Information and Technology Services – Advanced Research Computing
Armand Burks, Ph.D., is a research data scientist intermediate for Advanced Research Computing – Technology Services (ARC-TS), a division of Information and Technology Services (ITS). Armand helps researchers with establishing data workflows, transforming data between different formats, programming support, optimizing/parallelizing code, cloud computing with Hadoop, and developing custom code (C++, Java, Python). He earned a B.S. in computer science from Alabama State University in 2008, an M.S. in computer science and engineering from Michigan State University in 2010, and a Ph.D. in computer science from Michigan State University in 2017.
MATERIALS
Prerequisites: Familiarity with connecting to the Great Lakes cluster via SSH/PuTTY and UMVPN, Basic Linux command line familiarity, basic programming experience in Python, and an understanding of loops and basic data structures such as lists are all necessary for this hands-on workshop.
For more information on The Great Lakes cluster, click here.
Click here to fill out an account request form
Note: 3 business days are needed for creation of accounts
Students should fill in “Workshop” in the “Advisor” section.
Campus VPN access is required for off-campus access to Great Lakes but not from on campus. An SSH client, and Duo will be required during the workshop in order to use Great Lakes. If you do not have this software already, please download and install the Cisco AnyConnect VPN software following these instructions: https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started You will need this to be able to use the ssh client. You will need to use the ‘Campus All traffic’ profile in the Cisco client.

Register here
A Zoom link will be provided to the participants the day before the class. Registration is required.
Please note, this session will be recorded.
If you have questions about this workshop, please send an email to the instructor at arburks@umich.edu

Armand R. Burks, Ph. D.
Research Data Scientist
Advanced Research Computing
School of Information
University of Michigan

MICDE & MIDAS Graduate Programs Info Session North Campus
2022-10-26 13:30 - 14:30 | Johnson Rooms, Lurie Engineering Center, 3rd Floor, 1221 Beal Ave., Ann Arbor, MI, United States
Join the MICDE and MIDAS teams for a 1-hour information session to learn more about our computational and data science graduate program offerings, including: the Ph.D. in Scientific Computing, the Graduate Certificate in Computational Discovery & Engineering, the Graduate Certificate in Computational Neuroscience, and the Graduate Certificate in Data Science.
After a short presentation, each program’s faculty director and/or staff manager will be present to answer questions.

MICDE & MIDAS Graduate Programs Info Session Central Campus
2022-11-02 13:30 - 14:30 | 340 West Hall, 1085 South University Ave., Ann Arbor, MI, 48109, United States

Graduate Opportunities in Computational and Data Science Information Session
2025-10-17 14:30 - 16:00 | Weiser Hall, Room 555, 500 Church St., Ann Arbor, MI, 48109, United States
The educational programs represented will be:

PhD in Scientific Computing (MICDE)
Graduate Certificate in Computational Discovery & Engineering (MICDE)
Graduate Certificate in Computational Neuroscience (MICDE)
Graduate Certificate in Data Science (MIDAS)

These programs are open to U-M graduate students with an interest in scientific computing or data science. If you have any questions about these programs or about the information session, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
Please register to attend
